GSD-2020-10137
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Z-Wave devices based on Silicon Labs 700 series chipsets using S2 do not adequately authenticate or encrypt FIND_NODE_IN_RANGE frames, allowing a remote, unauthenticated attacker to inject a FIND_NODE_IN_RANGE frame with an invalid random payload, denying service by blocking the processing of upcoming events.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-10137",
"description": "Z-Wave devices based on Silicon Labs 700 series chipsets using S2 do not adequately authenticate or encrypt FIND_NODE_IN_RANGE frames, allowing a remote, unauthenticated attacker to inject a FIND_NODE_IN_RANGE frame with an invalid random payload, denying service by blocking the processing of upcoming events.",
"id": "GSD-2020-10137"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-10137"
],
"details": "Z-Wave devices based on Silicon Labs 700 series chipsets using S2 do not adequately authenticate or encrypt FIND_NODE_IN_RANGE frames, allowing a remote, unauthenticated attacker to inject a FIND_NODE_IN_RANGE frame with an invalid random payload, denying service by blocking the processing of upcoming events.",
"id": "GSD-2020-10137",
"modified": "2023-12-13T01:22:04.708795Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2021-12-27T05:00:00.000Z",
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"STATE": "PUBLIC"
},
"affects": {
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{
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{
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}
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},
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}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Carlos Nkuba Kayembe, PhD, Sven Dietrich, PhD, and Heejo Lee"
}
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"data_version": "4.0",
"description": {
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"value": "Z-Wave devices based on Silicon Labs 700 series chipsets using S2 do not adequately authenticate or encrypt FIND_NODE_IN_RANGE frames, allowing a remote, unauthenticated attacker to inject a FIND_NODE_IN_RANGE frame with an invalid random payload, denying service by blocking the processing of upcoming events."
}
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"description": [
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"lang": "eng",
"value": "CWE-345 Insufficient Verification of Data Authenticity"
}
]
}
]
},
"references": {
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"name": "https://kb.cert.org/vuls/id/142629",
"refsource": "CERT-VN",
"url": "https://kb.cert.org/vuls/id/142629"
},
{
"name": "https://ieeexplore.ieee.org/document/9663293",
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},
{
"name": "https://github.com/CNK2100/VFuzz-public",
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},
{
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"url": "https://doi.org/10.1109/ACCESS.2021.3138768"
},
{
"name": "VU#142629",
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"url": "https://www.kb.cert.org/vuls/id/142629"
}
]
},
"source": {
"discovery": "INTERNAL"
}
},
"nvd.nist.gov": {
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"nodes": [
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}
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"tags": [
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},
{
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"tags": [
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},
{
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 3.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:A/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 6.5,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-01-18T17:12Z",
"publishedDate": "2022-01-10T14:10Z"
}
}
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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